1 citations · 1 across the 4 of their papers we have counts for
4 papers
Predicting Dry Spells of the West African Monsoon Season Using Machine Learning Methods
Colin Bobocea, Yves Atchadé
Characteristics of the West African Monsoon (WAM) season, such as its onset and dry spell occurrences, are notoriously difficult to predict. However, these characteristics are key…
Laplace approximation for Bayesian variable selection via Le Cam's one-step procedure
Tianrui Hou, Liwei Wang, Yves Atchadé
Variable selection in high-dimensional spaces is a pervasive challenge in contemporary scientific exploration and decision-making. However, existing approaches that are known to en…
Unbiased Markov Chain Monte Carlo: what, why, and how
Yves F. Atchadé, Pierre E. Jacob
This document presents methods to remove the initialization or burn-in bias from Markov chain Monte Carlo (MCMC) estimates, with consequences on parallel computing, convergence dia…
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
Alexander Lin, Bahareh Tolooshams, Yves Atchadé +1
Latent Gaussian models have a rich history in statistics and machine learning, with applications ranging from factor analysis to compressed sensing to time series analysis. The cla…